Enabling robust and fluid spoken dialogue with cognitively impaired users

被引:0
|
作者
Yaghoubzadeh, Ramin [1 ]
Kopp, Stefan [1 ]
机构
[1] Bielefeld Univ, CITEC, POB 10 01 31, D-33501 Bielefeld, Germany
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present the flexdiam dialogue management architecture, which was developed in a series of projects dedicated to tailoring spoken interaction to the needs of users with cognitive impairments in an everyday assistive domain, using a multimodal front-end. This hybrid DM architecture affords incremental processing of uncertain input, a flexible, mixed-initiative information grounding process that can be adapted to users' cognitive capacities and interactive idiosyncrasies, and generic mechanisms that foster transitions in the joint discourse state that are understandable and controllable by those users, in order to effect a robust interaction for users with varying capacities.
引用
收藏
页码:273 / 283
页数:11
相关论文
共 50 条
  • [21] Learning from Real Users: Rating Dialogue Success with Neural Networks for Reinforcement Learning in Spoken Dialogue Systems
    Su, Pei-Hao
    Vandyke, David
    Gasic, Milica
    Kim, Dongho
    Mrksic, Nikola
    Wen, Tsung-Hsien
    Young, Steve
    16TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2015), VOLS 1-5, 2015, : 2007 - 2011
  • [22] Cerebrospinal fluid biomarkers for disease stage and intensity in cognitively impaired patients
    Wahlund, LO
    Blennow, K
    NEUROSCIENCE LETTERS, 2003, 339 (02) : 99 - 102
  • [23] Targeted help for spoken dialogue systems: intelligent feedback improves naive users' performance
    Hockey, BA
    Lemon, O
    Campana, E
    Hiatt, L
    Aist, G
    Hieronymus, J
    Gruenstein, A
    Dowding, J
    EACL 2003: 10TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE, 2003, : 147 - 154
  • [24] Contrastive Learning Based ASR Robust Knowledge Selection For Spoken Dialogue System
    Zhu, Zhiyuan
    Liao, Yusheng
    Wang, Yu
    Guan, Yunfeng
    INTERSPEECH 2023, 2023, : 725 - 729
  • [25] Enabling users to guide the design of robust model fitting algorithms
    Wimmer, Matthias
    Stulp, Freek
    Radig, Bemd
    2007 IEEE 11TH INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS 1-6, 2007, : 2288 - +
  • [26] Smart guiding glasses with descriptive video service and spoken dialogue system for visually impaired
    Chen, Ching-Han
    Shiu, Ming-Fang
    2020 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TAIWAN), 2020,
  • [27] A Fully Annotated Corpus for Studying the Effect of Cognitive Ageing on Users' Interactions with Spoken Dialogue Systems
    Georgila, Kallirroi
    Wolters, Maria
    Karaiskos, Vasilis
    Kronenthal, Melissa
    Logie, Robert
    Mayo, Neil
    Moore, Johanna D.
    Watson, Matt
    SIXTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, LREC 2008, 2008, : 938 - 944
  • [28] Predicting ASR Errors by Exploiting Barge-In Rate of Individual Users for Spoken Dialogue Systems
    Komatani, Kazunori
    Kawahara, Tatsuya
    Okuno, Hiroshi G.
    INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5, 2008, : 183 - 186
  • [29] Robust Perfusion Deficits in Cognitively Impaired Patients with Secondary-Progressive Multiple Sclerosis
    Francis, P. L.
    Jakubovic, R.
    O'Connor, P.
    Zhang, L.
    Eilaghi, A.
    Lee, L.
    Carroll, T. J.
    Mouannes-Srour, J.
    Feinstein, A.
    Aviv, R. I.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2013, 34 (01) : 62 - 67
  • [30] TouchPhoto: Enabling Independent Picture Taking and Understanding for Visually-Impaired Users
    Lim, Jongho
    Yoo, Yongjae
    Cho, Hanseul
    Choi, Seungmoon
    ICMI'19: PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, 2019, : 124 - 134